Abstract
Since the Surveillance camera came into the market, the advanced digital image processing is getting more research importance. One of the major issues of digital photographing is motion and image blur. This can be occurring when the camera is in motion, the shape of the blurring is constant, but only the spatial extent is varying. Here, a novel algorithm is proposed for deconvoluting the image samples in the filtering process. Moreover, the proposed algorithm is successfully useful for compressed domain operations such as downsampling, translation, and filtering, etc. The recommended deconvolution algorithm produces the approximated output images that are perceptually closer to the actual image with reduced computational complexity. In this paper, the proposed multiplier less convolution algorithm is employed in the Richardson-Lucy filter for the Deblurring analysis. Also, this proposed method was compared with the existing techniques and stated that the novel multiplier less deconvolution algorithm provides better performance in terms of PSNR.
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Jency Rubia, J., Babitha Lincy, R. (2021). Digital Image Restoration Using Modified Richardson-Lucy Deconvolution Algorithm. In: Chen, J.IZ., Tavares, J.M.R.S., Shakya, S., Iliyasu, A.M. (eds) Image Processing and Capsule Networks. ICIPCN 2020. Advances in Intelligent Systems and Computing, vol 1200. Springer, Cham. https://doi.org/10.1007/978-3-030-51859-2_10
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